Three different ConvNet architectures were evaluated using the training data: 1) a simple 3-layer ConvNet architecture, 2) a typical 4-layer ConvNet architecture, and 3) a deeper 6-layer ConvNet architecture.
Various neural network architectures were trained using the training data set, and the accuracy of the model obtained was examined by using the test data set.
After building tens of thousands of various ANN architectures using the training data, five survival-time correlated genes were identified from 4 microarray gene expression data sets by examining the correlation between gene signatures and patient survival time.
Since 2000s, a huge number of papers have been published which are based on the adaptation of the parameters of type-2 fuzzy logic systems using the training data either online or offline.
After using the training data set to estimate parameters for our statistical model (see Methods section, and for results on training set, see Supplementary Table 2), we applied Mykrobe predictor to the validation set. Figure 2c,d shows in red the false-negative calls (panel c) and false-positive calls (panel d) for Mykrobe predictor and the two laboratory methods: disc and Phoenix.
Train LSSVM through using the training data.
The Spanish recognizer was trained using the training data provided by the organizers.
The parameters of the Vanilla benchmark model are first estimated by using the training data.
The goal of the training phase is to induce a classifier from inp → lab by using the training data X.
Estimation experiment of road surface conditions of the sidewalk using the training data of users' subjective view.
The ANN models are now constructed using the training data sets generated with the help of DOE techniques in "Fractional factorial design (second phase of DOE)" section.
